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DBMS > AllegroGraph vs. Atos Standard Common Repository vs. BigchainDB vs. Kinetica vs. LMDB

System Properties Comparison AllegroGraph vs. Atos Standard Common Repository vs. BigchainDB vs. Kinetica vs. LMDB

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonKinetica  Xexclude from comparisonLMDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsFully vectorized database across both GPUs and CPUsA high performant, light-weight, embedded key-value database library
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document store
Key-value store
Document storeRelational DBMSKey-value store
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score0.79
Rank#212  Overall
#36  Document stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Websiteallegrograph.comatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comwww.kinetica.comwww.symas.com/­symas-embedded-database-lmdb
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlbigchaindb.readthedocs.io/­en/­latestdocs.kinetica.comwww.lmdb.tech/­doc
DeveloperFranz Inc.Atos Convergence CreatorsKineticaSymas
Initial release20042016201620122011
Current release8.0, December 202317037.1, August 20210.9.32, January 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoAGPL v3commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaPythonC, C++C
Server operating systemsLinux
OS X
Windows
LinuxLinuxLinuxLinux
Unix
Windows
Data schemeyes infoRDF schemasSchema and schema-less with LDAP viewsschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesoptionalnoyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no infobulk load of XML files possibleyesnonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSPARQL is used as query languagenonoSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP API
SPARQL
LDAPCLI Client
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
All languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnouser defined functionsno
Triggersyesyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infocell divisionShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesselectable replication factorSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationLDAP bind authenticationyesAccess rights for users and roles on table levelno
More information provided by the system vendor
AllegroGraphAtos Standard Common RepositoryBigchainDBKineticaLMDB
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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